Response surface and neural network based predictive models of cutting temperature in hard turning

The present study aimed to develop the predictive models of average tool-workpiece interface temperature in hard turning of AISI 1060 steels by coated carbide insert. The Response Surface Methodology (RSM) and Artificial Neural Network (ANN) were employed to predict the temperature in respect of cut...

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Detalles Bibliográficos
Autores principales: Mia, Mozammel, Dhar, Nikhil R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5106449/
https://www.ncbi.nlm.nih.gov/pubmed/27857850
http://dx.doi.org/10.1016/j.jare.2016.05.004

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5106449/
https://www.ncbi.nlm.nih.gov/pubmed/27857850
http://dx.doi.org/10.1016/j.jare.2016.05.004

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